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  1. Proceed to add the metadata for the dataset.

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Adding Metadata for a Dataset

 When adding a new Dataset, there will be some required metadata (Information about the Dataset to be published) that will need to be added in a form before the dataset can be published. Some of the required Metadata will be pre-populated based on your account/login information. The remaining required metadata will be marked with asterisks.

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Warning

We require a readme.txt file for your dataset.  There are no exceptions.  You must include this in your uploaded files or we will reject your submission.  We have a template available on the Libraries website.

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Adding Files

Once the metadata is added and you are ready to upload your data files that you would like to be published, you may drag and drop them OR click the “Select Files to Add” button.

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Once you are ready, click the “Save Dataset” button. 

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Note

If you have a dataset larger than 5GB, you will need to use the DVWebLoader option.  To load files this way, add your readme.txt now, but skip adding your data files in this step, then simply click the “Save Dataset” button for now (you will add your data files later).  

Once you click “Save Dataset” you will see a draft of your submission as follows. 

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From here, you may click on ”Edit Dataset” to add additional metadata.  These are additional fields that were not available on the initial “Citation Metadata“ form.   

We suggest that you fill out the following metadata fields:

Metadata Field 

Description

Examples

Topic Classification 

Indicates a broad, important topic or subject that the dataset covers 

solid state physics, quantum chemistry, ethnopaleontology 

Date of Collection 

The dates when the data were collected or generated 

Start: 2020-05-10, End: 2020-09-30 

Production Location 

The location where the data and any related materials were produced or collected 

Beartooth Mountain, Latitude: X Longitude: Y

Funding Information 

Information about the dataset's financial support 

SF grant no. 1234567, School of Energy Resources 

Software 

Information about the software used to generate the dataset

LabVIEW, Python v. 3.11.9, ORCA 

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Setting Terms/Licensing for your data

By default, WDR is set to attach a CC0 license to all data submitted to the system.  A CC0 license means that your data will be in the public domain, with no restrictions on use and no copyright.  If you would like to change the license for your dataset, click the “Edit Dataset” button, then click on “Terms.” 

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Getting Support

For support or any questions that you may have, please contact wyodata@uwyo.edu to consult with the UW-libraries for publishing related questions or ARCC at arcc-help@uwyo.edu for technical related questions.

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